Triple

T2460173
Position Surface form Disambiguated ID Type / Status
Subject Mumbai Suburban Railway E54514 entity
Predicate hasStation P35 FINISHED
Object Dadar
Dadar is a major commercial and residential neighborhood in central Mumbai, India, known as a key transit hub and marketplace in the city.
E283774 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dadar | Statement: [Mumbai Suburban Railway, hasStation, Dadar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dadar
Context triple: [Mumbai Suburban Railway, hasStation, Dadar]
  • A. Kurla
    Kurla is a densely populated suburban neighborhood in Mumbai, India, known as a major residential, commercial, and transport hub of the city.
  • B. Thane
    Thane is a major city in western India known for its numerous lakes and its proximity to Mumbai.
  • C. Bandra
    Bandra is a prominent coastal suburb of Mumbai known for its upscale neighborhoods, vibrant nightlife, historic churches, and seaside promenades.
  • D. Borivali
    Borivali is a suburban residential and commercial neighborhood in the northwestern part of Mumbai, India, known for its connectivity and proximity to the Sanjay Gandhi National Park.
  • E. Dwarka
    Dwarka is an ancient and sacred coastal city in western India, traditionally revered in Hinduism as the kingdom established and ruled by Lord Krishna.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dadar
Triple: [Mumbai Suburban Railway, hasStation, Dadar]
Generated description
Dadar is a major commercial and residential neighborhood in central Mumbai, India, known as a key transit hub and marketplace in the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dadar
Target entity description: Dadar is a major commercial and residential neighborhood in central Mumbai, India, known as a key transit hub and marketplace in the city.
  • A. Kurla
    Kurla is a densely populated suburban neighborhood in Mumbai, India, known as a major residential, commercial, and transport hub of the city.
  • B. Thane
    Thane is a major city in western India known for its numerous lakes and its proximity to Mumbai.
  • C. Bandra
    Bandra is a prominent coastal suburb of Mumbai known for its upscale neighborhoods, vibrant nightlife, historic churches, and seaside promenades.
  • D. Borivali
    Borivali is a suburban residential and commercial neighborhood in the northwestern part of Mumbai, India, known for its connectivity and proximity to the Sanjay Gandhi National Park.
  • E. Dwarka
    Dwarka is an ancient and sacred coastal city in western India, traditionally revered in Hinduism as the kingdom established and ruled by Lord Krishna.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd10ba66481909580e994b22fd406 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af906499688190a21984590b8caadc completed March 10, 2026, 3:30 a.m.
NEDg Description generation batch_69af90f63dac8190b3282b5029d22fab completed March 10, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69af918e7b50819082f37f9cdb3271a2 completed March 10, 2026, 3:35 a.m.
Created at: March 6, 2026, 9:44 p.m.